lol is this news? I mean we call it AI, but it’s just LLM and variants it doesn’t think.
this post was submitted on 08 Jun 2025
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Proving it matters. Science is constantly proving any other thing that people believe is obvious because people have an uncanning ability to believe things that are false. Some people will believe things long after science has proven them false.
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The "Apple" part. CEOs only care what companies say.
Apple is significantly behind and arrived late to the whole AI hype, so of course it's in their absolute best interest to keep showing how LLMs aren't special or amazingly revolutionary.
They're not wrong, but the motivation is also pretty clear.
Apple always arrives late to any new tech, doesn't mean they haven't been working on it behind the scenes for just as long though...
“Late to the hype” is actually a good thing. Gen AI is a scam wrapped in idiocy wrapped in a joke. That Apple is slow to ape the idiocy of microsoft is just fine.
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So, what your saying here is that the A in AI actually stands for artificial, and it's not really intelligent and reasoning.
Huh.
Most humans don't reason. They just parrot shit too. The design is very human.
Thata why ceo love them. When your job is 90% spewing bs a machine that does that is impressive
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No shit. This isn't new.
this is so Apple, claiming to invent or discover something "first" 3 years later than the rest of the market
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No shit
You know, despite not really believing LLM "intelligence" works anywhere like real intelligence, I kind of thought maybe being good at recognizing patterns was a way to emulate it to a point...
But that study seems to prove they're still not even good at that. At first I was wondering how hard the puzzles must have been, and then there's a bit about LLM finishing 100 move towers of Hanoï (on which they were trained) and failing 4 move river crossings. Logically, those problems are very similar... Also, failing to apply a step-by-step solution they were given.
This paper doesn’t prove that LLMs aren’t good at pattern recognition, it demonstrates the limits of what pattern recognition alone can achieve, especially for compositional, symbolic reasoning.
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Just fancy Markov chains with the ability to link bigger and bigger token sets. It can only ever kick off processing as a response and can never initiate any line of reasoning. This, along with the fact that its working set of data can never be updated moment-to-moment, means that it would be a physical impossibility for any LLM to achieve any real "reasoning" processes.
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